Kuvaus
| Alkuperäiskieli | englanti |
|---|---|
| Otsikko | Proceedings : Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014) |
| Toimittajat | Verena Henrich, Erhard Hinrichs |
| Sivumäärä | 7 |
| Julkaisupaikka | Tübingen |
| Kustantaja | University of Tübingen |
| Julkaisupäivä | 2014 |
| Sivut | 27-33 |
| Tila | Julkaistu - 2014 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
| Tapahtuma | Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations - Tübingen, Saksa Kesto: 11 elokuuta 2014 → 15 elokuuta 2014 Konferenssinumero: CCLCC 2014 |
Lisätietoja
Volume:
Proceeding volume:
Tieteenalat
- 6121 Kielitieteet
Lainaa tätä
}
Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. / Kormacheva, Daria; Pivovarova, Lidia; Kopotev, Mihail.
Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014). toim. / Verena Henrich; Erhard Hinrichs. Tübingen : University of Tübingen, 2014. s. 27-33.Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
TY - GEN
T1 - Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams
AU - Kormacheva, Daria
AU - Pivovarova, Lidia
AU - Kopotev, Mihail
N1 - Volume: Proceeding volume:
PY - 2014
Y1 - 2014
N2 - This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.
AB - This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.
KW - 6121 Languages
M3 - Conference contribution
SP - 27
EP - 33
BT - Proceedings
A2 - Henrich, Verena
A2 - Hinrichs, Erhard
PB - University of Tübingen
CY - Tübingen
ER -